4.7 Article

Iterative business model innovation: A conceptual process model and tools for incumbents

Journal

JOURNAL OF BUSINESS RESEARCH
Volume 168, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jbusres.2023.114177

Keywords

Business model innovation; Business model innovation process; Process model; Structured narrative review

Categories

Ask authors/readers for more resources

Business model innovation (BMI) is challenging for incumbents as it requires leveraging existing capabilities, market knowledge, and stakeholder relationships. Continuous innovation in response to changing market conditions and customer needs is crucial for long-term success. However, there is a lack of an integrated and detailed process model for incumbents' highly challenging BMI process.
Business model innovation (BMI) is challenging for incumbents because they must leverage existing capabilities, market knowledge, and stakeholder relationships in the BMI process. As BMI is an ongoing process, incumbents that can continuously innovate their BMs in response to changing market conditions and customer needs may be successful in the long term. However, an integrated and detailed process model of incumbents' highly chal-lenging BMI process is lacking. By structurally reviewing 47 publications and integrating their process model elements, we propose an incremental, iterative, recursive, and reflective conceptual process model for in-cumbents' BMI that comprises six phases and summarizes 23 activities and 38 tools. Our work contributes to the ongoing evolution of the process perspective of BMI by presenting a process model for incumbents that com-plements the established phases of initiation, ideation, and integration with the new phases of lifecycle analysis, competitor analysis, and roadmap.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available